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Crisp Boundary Detection Using Pointwise Mutual Information
Published on 2014-10-292430 Views
Detecting boundaries between semantically meaningful objects in visual scenes is an important component of many vision algorithms. In this paper, we propose a novel method for detecting such boundarie
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Presentation
Crisp Boundary Detection Using Pointwise Mutual Information00:00
Goal00:19
How do you find a boundary?00:46
Key observation - 102:13
Key observation - 202:48
Key observation - 304:31
Is PMI informative about object boundaries? - 105:37
Is PMI informative about object boundaries? - 206:17
PMI leverages internal image statistics - 106:35
PMI leverages internal image statistics - 207:42
Algorithm08:29
Algorithm outline08:33
Step 1: Estimate feature co-occurrence distribution P(A,B)09:01
Step 2: Derive PMI(A,B) from feature co-occurrence distribution10:09
Step 3: Use PMI as affinity between each pair of nearby pixels - 110:17
Step 3: Use PMI as affinity between each pair of nearby pixels - 210:55
Step 4: Group pixels based on affinity (spectral clustering)11:33
Results - 111:44
Results - 211:47
Results - 313:08
Performance on BSDS50013:20
Works on diverse stimuli14:00
Boundary detection in XYT14:41
Summary15:01
Code available15:25